scholarly journals Northwest Forest Plan—the first 15 years (1994–2008): watershed condition status and trend

Author(s):  
Steven H. Lanigan ◽  
Sean N. Gordon ◽  
Peter Eldred ◽  
Mark Isley ◽  
Steve Wilcox ◽  
...  
2017 ◽  
Author(s):  
Stephanie A. Miller ◽  
Sean N. Gordon ◽  
Peter Eldred ◽  
Ronald M. Beloin ◽  
Steve Wilcox ◽  
...  

2011 ◽  
Author(s):  
Melinda Moeur ◽  
Janet L. Ohmann ◽  
Robert E. Kennedy ◽  
Warren B. Cohen ◽  
Matthew J. Gregory ◽  
...  

Ecosystems ◽  
2008 ◽  
Vol 11 (7) ◽  
pp. 1106-1119 ◽  
Author(s):  
Sean P. Healey ◽  
Warren B. Cohen ◽  
Thomas A. Spies ◽  
Melinda Moeur ◽  
Dirk Pflugmacher ◽  
...  

2000 ◽  
Vol 27 (1-3) ◽  
pp. 315-334 ◽  
Author(s):  
Keith M Reynolds ◽  
Mark Jensen ◽  
James Andreasen ◽  
Iris Goodman

2003 ◽  
Author(s):  
Randy Molina ◽  
Dan McKenzie ◽  
Robin Lesher ◽  
Jan Ford ◽  
Jim Alegria ◽  
...  

2005 ◽  
Author(s):  
Melinda Moeur ◽  
Thomas A. Spies ◽  
Miles Hemstrom ◽  
Jon R. Martin ◽  
James Alegria ◽  
...  

2021 ◽  
Author(s):  
Anna R Santo ◽  
Michael R Coughlan ◽  
Heidi Huber-Stearns ◽  
Mark D O Adams ◽  
Gabriel Kohler

Abstract This article explores the changing relationships between the USDA Forest Service and 10 small, forest-based communities in the Northwest Forest Plan area in Washington, Oregon, and California. Interviews with 158 community members and agency personnel indicated that community member interviewees were largely dissatisfied with the agency’s current level of community engagement. Interviewees believed that loss of staff was the primary factor contributing to declining engagement, along with increasing turnover and long-distance commuting. Interviewees offered explanations for increasing employee turnover and commuting, including lack of housing, lack of employment for spouses, lack of services for children, social isolation, improving road conditions making long-distance commuting easier, agency incentives and culture, decreasing social cohesion among agency staff, unpaid overtime responsibilities, and agency hiring practices. Community member perceptions regarding long-term changes in community well-being and agency-community relationships were more negative than agency staff’s perceptions. Study Implications: We found evidence that staffing declines, turnover, and long-distance commuting may contribute to decreasing agency engagement in some communities, and that diminished engagement by federal forest management agency employees may contribute to negative attitudes toward the agency. Agency employee interviewees suggested that incentives (i.e., promotions, opportunities to live elsewhere), internal conflicts, and a lack of opportunities and services for their families are reasons that staff commute from neighboring communities or leave their jobs. Our findings suggest that the USDA Forest Service may improve agency-community relationships by supporting its staff in ways that reduce turnover and long-distance commuting and incentivize community engagement.


Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1485 ◽  
Author(s):  
Sara Donatich ◽  
Barbara Doll ◽  
Jonathan Page ◽  
Natalie Nelson

In some states, the Stream Quantification Tool (SQT) has been adopted to quantify functional change of stream mitigation efforts. However, the ability of the SQT protocol to predict biological function and uphold the premise of the Stream Functions Pyramid (Pyramid) remains untested. Macroinvertebrate community metrics in 34 headwater streams in Piedmont, North Carolina (NC, USA) were related to NC SQT protocol (version 3.0) factors and other variables relevant to ecological function. Three statistical models, including stepwise, lasso, and ridge regression were used to predict the NC Biotic Index (NCBI) and Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness using two datasets: 21 SQT variables and the SQT variables plus 13 additional watershed, hydraulic, geomorphic, and physicochemical variables. Cross-validation revealed that stepwise and ridge outperformed lasso, and that the SQT variables can reasonably predict biology metrics (R2 0.53–0.64). Additional variables improved prediction (R2 0.70–0.88), suggesting that the SQT protocol is lacking metrics important to macroinvertebrates. Results moderately support the Pyramid: highly predictive ridge models included metrics from all levels, while highly predictive stepwise models included metrics from higher levels, and not watershed hydrology. Reach-scale metrics were more important than watershed hydrology, providing encouragement for projects limited by watershed condition.


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